DEVELOPMENT... OpenML
Run
38467

Run 38467

Task 4346 (Supervised Classification) fri_c2_100_25 Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I20
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.8385
Per class
Build CPU time
0.1167
Build memory
1059122487.2
F measure
0.7899
Per class
Kappa
0.5711
KB relative information score
549.778
Mean absolute error
0.2215
Mean prior absolute error
0.4904
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7898
Per class
Predictive accuracy
0.79
Prior entropy
0.9864
Recall
0.79
Per class
Relative absolute error
0.4517
Root mean prior squared error
0.4951
Root mean squared error
0.4277
Root relative squared error
0.8639
SciMark benchmark
909.9339